Results 151 to 160 of about 29,264 (279)

2D Inorganic Electrides: Interstitial Electrons as Key Drivers of Multifunctional Properties and Applications

Advanced Science, EarlyView.
Eight AB‐type 2D inorganic electrides with negatively charged transition metals are theoretically designed. Their monolayers exhibit intrinsic magnetic ordering, rich topological phases, and ultralow work functions. Supported metal Ru on these 2D inorganic electrides effectively alleviates hydrogen poisoning and enables efficient ammonia synthesis ...
Qianwen Zhang, Xia Cheng, Zhenzhou Guo, Weiyao Jia, Ying Yang, Zhenxiang Cheng, Weizhen Meng   +6 more
wiley   +1 more source

A Single‐Cell Transcriptomic Atlas of the Ovine Rumen Microbiome Characterizes Lineage‐Specific Metabolic Shifts Associated with Host Heat Tolerance

Advanced Science, EarlyView.
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang, Qinyang Jiang, Junjie Ma, Jianwei Zou, Fan Wang, Feifei Lv, Yanna Huang, Yongcheng Wang, Ziye Xu   +8 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Manifold topological deep learning for biomedical data. [PDF]

Nat Commun
Liu X, Su Z, Shi Y, Tong Y, Wang G, Wei GW.   +5 more
europepmc   +1 more source

An Integrative Strategy Delineates Modular Metabolic Remodeling and Potential Therapeutic Targets Across Metabolic Diseases

Advanced Science, EarlyView.
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang, Congxue Hu, Hang Zhao, Xiao Peng, Yiming Yan, Jiasi Wang, Wenqi Jiang, Depeng Mu, Yan Cao, Xia Li, Yunpeng Zhang   +10 more
wiley   +1 more source

Impaired Topological Architecture of Structural Brain Networks in Obstructive Sleep Apnea: A DTI Study

Nature and Science of Sleep
Yiwei Zhao,1,2,* Xuerong Shi,3,* Guo Shen,2,4,* Huiyan Zhang,2,4 Yanan Xu,1,2 Jing Gao,1,2 Ziyang Zhao,3 Miao Chen,3 Wenwen Zhang,2 Gang Huang,2 Zhijun Yao,3 Lianping Zhao2 1The First Clinical Medical College, Gansu University of ...
Zhao Y, Shi X, Shen G, Zhang H, Xu Y, Gao J, Zhao Z, Chen M, Zhang W, Huang G, Yao Z, Zhao L   +11 more
doaj  

Robustness of Topological Phases on Aperiodic Lattices. [PDF]

Math Phys Anal Geom
Li Y.
europepmc   +1 more source

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 more
wiley   +1 more source

Graph-Theoretical Approach for Predicting Physicochemical Properties of Stiff-Person Syndrome Drugs. [PDF]

ChemistryOpen
Ali J, Ali Y, Malik MA, Shang Y.
europepmc   +1 more source